Last fall, we introduced PagerDuty Analytics, a product that combines machine and human response data to provide operational insights that enable organizations to drive process maturity and improved business outcomes. Today, we’re excited to announce that it’s generally available! As part of our expanded Analytics product offering, we’re rolling out a set of prescriptive operational performance scorecards.
The phrase “better safe than sorry” gets thrown around whenever people talk about monitoring or getting observability into your AWS resources but the truth is that you can’t sit around and wait until a problem arises, you need to proactively look for opportunities to improve your application in order to stay one step ahead of the competition.
OpsRamp was recently featured in the 451 Research Impact report, OpsRamp Keeps Up With The Competition, Investing in ML, Kubernetes Monitoring. This report, written by Nancy Gohring, 451 Research’s senior analyst for Application and Infrastructure Performance, demonstrates how OpsRamp is one of the few vendors that has organically built and delivered a transformational SaaS solution for modern IT operations, DevOps, and Site Reliability Engineering teams.
By 2022, Gartner predicts that 40% of large enterprises will adopt AIOps solutions to cope with never-ending alert floods and ensure faster recovery from disruptive IT outages. The AIOps market is experiencing rapid growth with explosive enterprise adoption, accelerated revenue growth and continued investments from IT operations players.
Valentine’s Day can be traced back to the 1500s, and while back then it was likely not about candy hearts and chocolates—it has always been about the celebration of beauty, love, and relationships. With today being Valentine’s Day, I thought it’d be a great opportunity to celebrate Opsgenie’s relationships (read: integrations) with more than 200 of your favorite apps and web services.
I’ve never been on-call, but I’ve been on-call adjacent for a lot of my adult life—my partners, my housemates, my friends…they’ve largely been sysadmins, in Operations, or Dev/Ops, which means I’ve experienced a lot of the pain second-hand.
While enterprise leaders are constantly looking to innovate, there’s one area where “business as usual” should be a focus — spotting anomalies in your data. When it comes to time series data, “business as usual” is the baseline or expected behavior of the KPIs you track. Any unexpected deviations in those patterns can be classified as anomalies. However it’s important to keep in mind that anomalies can be either negative or positive.
